|
|
|
|
LEADER |
00000cam a2200000 i 4500 |
001 |
on1391544875 |
003 |
OCoLC |
005 |
20240808213014.0 |
006 |
m o d |
007 |
cr |n||||||||| |
008 |
230731s2023 si a o 101 0 eng d |
040 |
|
|
|a YDX
|b eng
|e rda
|e pn
|c YDX
|d GW5XE
|d EBLCP
|d OCLCQ
|d OCLCO
|d OCLCF
|d UKAHL
|
019 |
|
|
|a 1391442997
|
020 |
|
|
|a 9789819944026
|q (electronic bk.)
|
020 |
|
|
|a 9819944023
|q (electronic bk.)
|
020 |
|
|
|z 9789819944019
|
020 |
|
|
|z 9819944015
|
024 |
7 |
|
|a 10.1007/978-981-99-4402-6
|2 doi
|
035 |
|
|
|a (OCoLC)1391544875
|z (OCoLC)1391442997
|
050 |
|
4 |
|a HD9980.5
|
049 |
|
|
|a HCDD
|
111 |
2 |
|
|a International Conference on Service Science
|n (16th :
|d 2023 :
|c Harbin, China)
|
245 |
1 |
0 |
|a Service science :
|b 16th International Conference, ICSS 2023, Harbin, China, May 13-14, 2023, revised selected papers /
|c Zhongjie Wang, Shangguang Wang, Hanchuan Xu, editors.
|
246 |
3 |
0 |
|a ICSS 2023
|
264 |
|
1 |
|a Singapore :
|b Springer,
|c [2023]
|
264 |
|
4 |
|c ©2023
|
300 |
|
|
|a 1 online resource (xvi, 522 pages) :
|b illustrations (chiefly color).
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
490 |
1 |
|
|a Communications in computer and information science ;
|v 1844
|
500 |
|
|
|a International conference proceedings.
|
500 |
|
|
|a Includes author index.
|
520 |
|
|
|a This book constitutes selected papers presented at the 16th International Conference on Service Science, ICSS 2023, held in Harbin, China, in May 2023. The 36 full papers and 2 short papers presented were thoroughly reviewed and selected from the 71 submissions. They are organized in the following topical sections: serverless edge computing; edge services reliability; intelligent services; service application; knowledge-inspired service; service ecosystem; graph-based service optimization; AI-inspired service optimization.
|
588 |
0 |
|
|a Online resource; title from PDF title page (SpringerLink, viewed July 31, 2023).
|
505 |
0 |
|
|a Intro -- Preface -- Organization -- Contents -- Serverless Edge Computing -- Scheduling Workflow Instances to Servers and Serverless Functions in Cloud/Edge Data Centers -- 1 Introduction -- 2 Related Works -- 3 Problem Formulation -- 4 Proposed Algorithm -- 4.1 The Properties of the Considered Problem -- 4.2 Schedule Improvement in a Serverless Configuration -- 4.3 Schedule Improvement in a Server Configuration -- 5 Experimental Results -- 5.1 Experimental Settings -- 5.2 Comparison and Analysis of Algorithms -- 6 Conclusions -- References
|
505 |
8 |
|
|a QoS Accurate Matching Algorithm Based on Service Resource Scheduling on Cloud Platform and Its Application -- 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Problem Description -- 3.2 Dynamic Evaluation Model -- 3.3 QoS Accurate Matching Algorithm Baesed on Service Resource Scheduling -- 4 Cases and Analysis -- 5 Conclusion -- References -- Environment-Aware Work Load Prediction in Edge Computing -- 1 Introduction -- 2 Related Work -- 3 Problem Description -- 4 Proposed Approach -- 4.1 Environment-Aware Temporal Graph Convolutional Networks -- 5 Experiments -- 5.1 Experimental Results
|
505 |
8 |
|
|a 6 Conclusion -- References -- Hybrid Task Offloading for Serverless Computing in the Multi-edge-to-Cloud Environment -- 1 Introduction -- 2 Related Works -- 3 System Model -- 4 Hybrid Offloading Algorithm -- 4.1 Task Sorting -- 4.2 Offloading Decision -- 4.3 Function Replacement -- 5 Experiments -- 5.1 Experimental Settings -- 5.2 Experimental Results and Evaluations -- 6 Conclusion -- References -- Improving IoT Services Through Business-Process-Aligned Modeling Method -- 1 Introduction -- 2 Related Work -- 2.1 IoT Service Modeling Methods
|
505 |
8 |
|
|a 2.2 Business-Process-Aligned Modeling Methods for IoT Services -- 3 IoT Service Modeling -- 3.1 IoT Service Architecture Model -- 3.2 IoT Service Model -- 4 Binding IoT Service to Business Process -- 5 Experiments -- 5.1 Experimental Environment -- 5.2 Experimental Results -- 6 Conclusion -- References -- Edge Services Reliability -- Research on Cascading Failure of Complex Networks Based on Edge Weight and Capacity Allocation Strategy -- 1 Introduction -- 2 Cascading Failure Model for Complex Networks -- 2.1 Edge-Based Cascading Failure Model
|
505 |
8 |
|
|a 2.2 Dynamic Evolution Process of Cascading Failures in Complex Networks -- 3 Research on the Invulnerability of Complex Networks Against Cascading Failures -- 3.1 Improved Edge Surplus Capacity Optimization Strategy -- 3.2 Metrics -- 3.3 Numerical Simulation -- 4 Conclusion -- References -- IoT Service Runtime Fault Tolerance Mechanism Based on Flink Dynamic Checkpoint -- 1 Introduction -- 2 Related Work -- 3 On-Demand Dynamic Checkpoint Fault Tolerance -- 3.1 System Efficiency Model -- 3.2 On-Demand Dynamic Checkpoint Algorithm -- 4 Experiment
|
650 |
|
0 |
|a Service industries
|x Information technology
|v Congresses.
|
650 |
|
0 |
|a Service industries
|x Management
|v Congresses.
|
650 |
|
0 |
|a Operations research
|v Congresses.
|
650 |
|
0 |
|a Computer networks
|x Management
|v Congresses.
|
650 |
|
0 |
|a Web services
|v Congresses.
|
650 |
|
7 |
|a Computer networks
|x Management.
|2 fast
|0 (OCoLC)fst00872323
|
650 |
|
7 |
|a Operations research.
|2 fast
|0 (OCoLC)fst01046387
|
650 |
|
7 |
|a Service industries
|x Management.
|2 fast
|0 (OCoLC)fst01113442
|
650 |
|
7 |
|a Web services.
|2 fast
|0 (OCoLC)fst01173242
|
655 |
|
7 |
|a proceedings (reports)
|2 aat
|
655 |
|
7 |
|a Conference papers and proceedings.
|2 fast
|0 (OCoLC)fst01423772
|
655 |
|
7 |
|a Conference papers and proceedings.
|2 lcgft
|
655 |
|
7 |
|a Actes de congrès.
|2 rvmgf
|
700 |
1 |
|
|a Wang, Zhongjie,
|e editor.
|
700 |
1 |
|
|a Wang, Shangguang,
|e editor.
|
700 |
1 |
|
|a Xu, Hanchuan,
|e editor.
|
776 |
0 |
8 |
|c Original
|z 9819944015
|z 9789819944019
|w (OCoLC)1381442724
|
830 |
|
0 |
|a Communications in computer and information science ;
|v 1844.
|
856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-981-99-4402-6
|y Click for online access
|
903 |
|
|
|a SPRING-ALL2023
|
994 |
|
|
|a 92
|b HCD
|